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Global convergence and rate of convergence of a method of centers
Computational Optimization and Applications, 1994zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Globalization and Policy Convergence [PDF]
An implicit assumption of most policy analysts and some academics is that globalization leads to a convergence of traditionally national policies governing environmental regulation, consumer health and safety, the regulation of labor, and the ability to tax capital.
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A globally convergent adaptive predictor
Automatica, 1981This paper establishes global convergence for an adaptive prediction algorithm. Key features of the algorithm are (i) a priori residuals are used in the regression vector, (ii) the input signal need not be persistently exciting, (iii) only an upper bound is required on the system order, (iv) no monitoring or projection procedure is required to ...
Peter J. Ramadge +2 more
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Globalization and Economic Convergence
Competition & Change, 1997Convergence among national economies is viewed by a growing number of observers as an inevitable result of increasing global integration of product and financial markets. Yet there is reason to doubt that globalization has yet brought about, or will in the future bring about, the degree of convergence assumed by some.
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Global convergence of the stochastic tâtonnement process
Journal of Mathematical Economics, 2000The paper introduces stochastic elements into the Walrasian tâtonnement process, to make it more realistic and to ensure its global convergence to an equilibrium with probability 1.
Ermoliev, Y.M. +2 more
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Globalization and the Convergence of Values
2017As the twentieth century comes to a close, the circumstances of individual nations – their affairs, news, and problems – have tended increasingly to reach and captivate global audiences. A predominant reason has been the economic importance of foreign countries.
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A Globally Convergent Stochastic Approximation
SIAM Journal on Control and Optimization, 1993Summary: By combining a constrained Kiefer-Wolfowitz search with an automatic learning algorithm, it is shown that asymptotically normal convergence of an estimator to a global optimum under reasonably lenient assumptions can be attained. It is enough that the objective function be smooth and locally strictly convex at its minima.
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2010
Proving convergence of the various optimization algorithms is a delicate exercise. In general, it is helpful to consider local and global convergence patterns separately. The local convergence rate of an algorithm provides a useful benchmark for comparing it to other algorithms. On this basis, Newton’s method wins hands down. However, the tradeoffs are
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Proving convergence of the various optimization algorithms is a delicate exercise. In general, it is helpful to consider local and global convergence patterns separately. The local convergence rate of an algorithm provides a useful benchmark for comparing it to other algorithms. On this basis, Newton’s method wins hands down. However, the tradeoffs are
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Introduction: Difference and Convergence in Globalization
2005It is customary nowadays to accept that a cross-national and cross-regional production of knowledge and the integration of academic communities are no longer just an idea or a desire, but a given and an experience. In the process of globalization, it is often claimed and believed that academics in the humanities are empowered by a new set of ...
Tong, QS, Kerr, D
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2011
In this final chapter, we prove convergence results for general metric graphs and the associated graph-like manifolds. In particular, we show resolvent convergence, convergence of the discrete and essential spectrum and of resonances.
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In this final chapter, we prove convergence results for general metric graphs and the associated graph-like manifolds. In particular, we show resolvent convergence, convergence of the discrete and essential spectrum and of resonances.
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